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3d-lung-nodules-detection

【医学影像分析】3D-CT影像的肺结节检测（LUNA16数据集）

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention_unet

Raw implementation of attention gated U-Net by Keras

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baseline_segment_resunet_pytorch

a baseline for defect segmentation

brain-tissue-segment-keras

Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...

domain-generalization

All about domain generalization

featureextraction

Feature extraction - Image Processing

fingerprintfeatureextraction

Extract minutiae features from fingerprint images

fuse_seg_pytorch

Pytorch Implementation of Paper: Enhancing Feature Fusion for Semantic Segmentation (face++)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

kawaii_creator

Photo to illustration converter

keras-cam

Keras implementation of class activation mapping

keras-gradcam

Keras implementation of GradCAM.

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

luna16-lung-nodule-analysis-2016-challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

masktrack

Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch

models

Models and examples built with TensorFlow

modelsgenesis

Official Keras Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

non-local-u-nets-2d-block

Inplement 2D global aggregation block of Non-local-U-Nets. Written in pytorch.

pan_pp.pytorch

Official implementations of PSENet, PAN and PAN++.

pyefd

Python implementation of "Elliptic Fourier Features of a Closed Contour"

python-image-feature-extraction

Python实现提取图像的纹理、图像特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

python_glcmfeature

This .py file describe how to use GLCM (Gray level co-occurrence matrix) to analyze texture information of an image

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-mask-rcnn

pytorchnethub

加注释的网络模型（便于理解）